Publication detail

Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages

NADIMPALLI, V. KESIRAJU, S. BANKA, R. KETHIREDDY, R. GANGASHETTY, S.

Original Title

Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages

Type

journal article in Web of Science

Language

English

Original Abstract

This paper presents the resources and benchmarks developed for keyword search (KWS) in spoken audio from six low-resource Indian languages (from two families), namely Gujarati, Hindi, Marathi, Odia, Tamil, and Telugu. The current work on constructing keywords and building benchmark KWS systems is inspired by the popular IARPA Babel program and the subsequent works on low-resource KWS. The keywords are constructed by taking into account their properties i.e., occurrence, length, and average confusability; and their effects on the evaluation metric - the term-weighted value (TWV).We make use of freely available speech datasets, and reprocess them to create resources for KWS, thereby adding value to the existing speech resources. Four ASR-based KWS systems are built, and their performance is analyzed across the three keyword properties on all the six languages. The prepared keywords and other related resources to replicate our experiments are made available for the public.We believe that the analysis and guidelines provided in this paper will not only help the research community, but also practitioners and engineers to easily create KWS resources for newer languages, datasets, and scenarios.

Keywords

Keyword search, low-resource languages, term-weighted value (TWV)

Authors

NADIMPALLI, V.; KESIRAJU, S.; BANKA, R.; KETHIREDDY, R.; GANGASHETTY, S.

Released

28. 3. 2022

ISBN

2169-3536

Periodical

IEEE Access

Year of study

10

Number

2022

State

United States of America

Pages from

34789

Pages to

34799

Pages count

11

URL

https://ieeexplore.ieee.org/document/9743904

BibTex

@article{BUT182528,
  author="NADIMPALLI, V. and KESIRAJU, S. and BANKA, R. and KETHIREDDY, R. and GANGASHETTY, S.",
  title="Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages",
  journal="IEEE Access",
  year="2022",
  volume="10",
  number="2022",
  pages="34789--34799",
  doi="10.1109/ACCESS.2022.3162854",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/9743904"
}